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ACL-PASCAL Workshop on Textual Entailment and Paraphrasing

More information at WS9 workshop page. (try the local copy if the link doesn't work)

General session

  • Bill MacCartney and Christopher D. Manning: Natural Logic for Textual Inference
  • Rodney D. Nielsen and Wayne Ward: A Corpus of Fine-Grained Entailment Relations
  • Joao Cordeiro, Gael Dias and Guillaume Cleuziou: Biology Based Alignments of Paraphrases for Sentence Compression
  • Atsushi Fujita, Shuhei Kato, Naoki Kato and Satoshi Sato: A Compositional Approach toward Dynamic Phrasal Thesaurus
  • Michael Ellsworth and Adam Janin: Mutaphrase: Paraphrasing with FrameNet
  • Marilisa Amoia and Claire Gardent: A first order semantic approach to adjectival inference

RTE session oral presentations

  • Nathanael Chambers, Daniel Cer, Trond Grenager, David Hall, Chloe Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh and Christopher D. Manning: Learning Alignments and Leveraging Natural Logic
  • Andrew Hickl and Jeremy Bensley: A Discourse Commitment-Based Framework for Recognizing Textual Entailment
  • Adrian Iftene and Alexandra Balahur-Dobrescu: Hypothesis Transformation and Semantic Variability Rules Used in Recognizing Textual Entailment
  • Aljoscha Burchardt, Nils Reiter, Stefan Thater and Anette Frank: A Semantic Approach to Textual Entailment: System Evaluation and Task Analysis
  • Daniel Bobrow, Dick Crouch, Tracy Halloway King, Cleo Condoravdi, Lauri Karttunen, Rowan Nairn, Valeria de Paiva and Annie Zaenen: Linguistically-focused Textual Entailment
  • Roy Bar-Haim, Ido Dagan, Iddo Greental, Idan Szpektor and Moshe Friedman: Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition
  • Baoli LI, Joseph Irwin, Ernest Garcia and Ashwin Ram: III University at the Third Recognizing Textual Entailment Challenge
  • Stefan Harmeling: An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge
  • Marta Tatu and Dan Moldovan: COGEX at RTE 3

RTE poster session

  • Rui Wang and Gunter Neumann: Applying Subsequence Kernels to Recognizing Textual Entailment
  • Alvaro Rodrigo, Anselmo Penas, Jesus Herrera and Felisa Verdejo: Experiments of UNED at the Third Recognising Textual Entailment Challenge
  • Gaston Burek and Christian Pietsch: SVO triple based Latent Semantic Analysis for recognising textual entailment
  • Prodromos Malakasiotis and Ion Androutsopoulos: Learning Textual Entailment using SVMs and String Similarity Measures
  • Oscar Ferrandez, Daniel Micol, Rafael Munoz and Manuel Palomar: A Perspective-Based Approach for Solving Textual Entailment Recognition
  • Fabio Massimo Zanzotto, Marco Pennacchiotti and Alessandro Moschitti: Shallow Semantic in Fast Textual Entailment Rule Learners
  • Arturo Montejo-Raez, Jose Manuel Perea, Fernando Martinez-Santiago, Miguel Angel Garcia-Cumbreras, Maite Martin Valdivia and Alfonso Urena-Lopez: Combining Lexical-Syntactic Information with Machine Learning for Recognizing Textual Entailment
  • Dan Roth and Mark Sammons: Semantic and Logical Inference Model for Textual Entailment
  • Daniel Ferres and Horacio Rodriguez: Machine Learning with Semantic-Based Distances Between Sentences for Textual Entailment
  • Erwin Marsi, Emiel Krahmer and Wauter Bosma: Dependency-based paraphrasing for RTE
  • Scott Settembre: Textual Entailment Using Univariate Density Model and Maximizing Discriminant Function
  • Catherine Blake: The Role of Sentence Structure in Recognizing Textual Entailment
  • Rodolfo Delmonte: Entailment and Anaphora Resolution in RTE3
  • Peter Clark, Phil Harrison, John Thompson, William Murray, Jerry Hobbs and Christiane Fellbaum: On the Role of Lexical and World Knowledge in RTE3
  • Rod Adams, Gabriel Nicolae, Cristina Nicolae and Sanda Harabagiu: Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching

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